Brian Caffo, PhD is a professor in the Department of Biostatistics with a secondary appointment in the Department of Biomedical Engineering at Johns Hopkins University. He graduated from the University of Florida Department of Statistics in 2001. He has worked in statistical computing, statistical modeling, computational statistics, multivariate and decomposition methods and statistics in neuroimaging and neuroscience. He led teams that won the ADHD 200 prediction competition. He co-directs the SMART statistical group. With other faculty at JHU, he created and co-directs the Coursera Data Science Specialization, a 10 course specialization on statistical data analysis. He co-directs the JHU Data Science Lab, a group dedicated to open educational innovation and data science. He is the former director of the Biostatistics graduate programs and admissions committees. He is currently the co-director of the Johns Hopkins High Performance Computing Exchange super computing service center and past-president of the Bloomberg School of Public Health faculty senate.
| Year | Description | Institution | |
|---|---|---|---|
| 2006 | K25 training grant | NIH | A mentored training program in imaging science |
| 2001 | PhD in statistics | U of Florida | Candidate sampling schemes and some important applications |
| 1998 | MS in statistics | U of Florida | |
| 1995 | Dual BS in mathematics and statistics | U of Florida |
| Year | Title | Place |
|---|---|---|
| 2019 - | Secondary | Dept of Biomedical Engineering, JHU |
| 2019 - | Co-director | Johns Hopkins High Performance Computing Exchange (JHPCE) |
| 2016 - | Faculty member | Kavli Neuroscience Discovery Institute |
| 2017 - | Faculty member | Malone Center for Engineering and Healthcare |
| 2014 - | Co-founding member | Johns Hopkins Data Science Lab |
| 2011 - | Founding co-director | SMART research group |
| 2013 - | Full professor | Dept of Biostat,JHU |
| 2007-2013 | Associate professor | Dept of Biostat,JHU |
| 2001-2007 | Assistant professor | Dept of Biostat,JHU |
| 1996-1999 | Research assistant for professor Alan Agresti | Department of Stat, UFL |
| 1996, 1999 | Intern / programmer | the Pediatric Oncology Group Statistical Office |
| Year | Activity |
|---|---|
| 2005-2006 | Publications Officer for the Biometrics Section of the American Statistical Association |
| 2010 | Founding member Stat in Imaging ASA Section |
| 2010-2011 | Secretary Stat in Imaging ASA Section |
| 2006-2008 | Associate editor Computational Statistics and Data Analysis |
| 2008-2010 | Associate editor for the Journal of the American Statistical Association |
| 2009-2012 | Associate editor for the Journal of the Royal Statistical Society Series B |
| 2010-2012 | Associate editor for Biometrics |
| Senior program committee member for the Fourteenth International Conference on Artificial Intelligence and Statistics | |
| Guest associate editor for Frontiers in Neuroscience special issues on Brain Imaging Methods and Explainable Artificial Intelligence in Healthcare and Finance |
Also, I try to do at least 1 or 2 NIH, EU, NSF ... review panels a year and a JSM or ENAR sessions.
| Year | Award |
|---|---|
| 1998 | William S. Mendenhall Award |
| 1999 | Anderson Scholar/Faculty nominee for the University of Florida CLAS |
| 2001 | University of Florida CLAS Dissertation Fellowship |
| 2001 | University of Florida Statistics Faculty Award |
| 2002 | Johns Hopkins Faculty Innovation Award |
| 2006 | Johns Hopkins Bloomberg School of Public Health AMTRA award |
| 2008 | Johns Hopkins Bloomberg School of Public Health Golden Apple teaching award |
| 2011 | Leader and organizer of the declared winning entry of the 2011 ADHD200 prediction competition |
| 2011 | Presidential Early Career Award for Scientists and Engineers (PECASE, 2010, awarded in 2011); The highest honor bestowed by the United States government on science and engineering professionals in the early stages of their independent research careers |
| 2014 | Named a Fellow of the American Statistical Association |
| 2015 | Special Invited Lecturer, European Meeting of Statisticians |
Publications reported in Scopus as of 01/04/2021. My total number of Scopus publications is 228. Below is a plot of total publications by year. Hover data includes title, journal and citations.
Here are journals I publish in the most. Some of my favorite journals that I have published in less are JRSSA (1), JRSSB (2), JRSSC (1), Biometrika (1), IEEE TMI (1), JCGS (3), AJE (2), Brain (2), Biometrics (4), American Statistician (5), and Neuroimage Clinical (2).
I have published with 625 coauthors. Here is authors that I have had 10 or over manuscripts with.
Here's a wordcloud of words in the titles (excluding common use words, in the shape of an axial brain slice).

Here's the total citation counts of manuscripts plotted by year of publication. Hover over a point to see publication details.
| Year(s) | Degree | Advisee | Place | Title | Notes |
|---|---|---|---|---|---|
| 2005 | PhD | Leena Choi | JHU Biostat | Modelling biomedical data and the foundations of bioequivalence | |
| 2006 | ScM | Lijuan Deng | JHU Biostat | Spline-based curve fitting with applications to kinetic imaging | |
| 2006 | MS | Bruce Swihart | University of Colorado Biostatistics | Quantitative characterization of sleep architecture using multi- state and log-linear models | jointly advised with Naresh Punjabi and Gary Grunwald |
| 2007 | MPH | Jeong Yun | JHU BSPH | Incidence of hypertension in high risk groups of the Sleep Heart Health Study | |
| 2008 | PhD | Xianbin Li | JHU Biostat | Modeling composite outcomes and their component parts | |
| 2008 | PhD | Shu-Chih Su | JHU Biostat | Structure/function relationships in the analysis of anatomical and functional neuroimaging data | |
| 2010 | ScM | John Muschelli | JHU Biostat | An iterative approach to hemodynamic response function temporal derivatives in statistical parametric mapping for functional neuroimaging | |
| 2011 | PhD | Haley Hedlin | JHU Biostat | Statistical methods for inter-subject analysis of neuroscience data | |
| 2011 | PhD | Bruce Swihart | JHU Biostat | From individuals to populations: application and insights concerning the generalized linear mixed model | |
| 2012 | PhD | Jeff Goldsmith | JHU Biostat | Cross-Sectional and longitudinal penalized functional regression | co-advised with primary advisor Ciprian Crainiceanu |
| 2012 | MPH | Tiziano Marovino | JHU BSPH | The concurrent validity of musculo-skeletal ultrasound imaging in comparison to MRI for detecting rotator cuff tears in the shoulder when performed in a physical therapy setting | |
| 2013 | ScM | Rawan Al-Lozi | JHU Biostat | An evaluation of statistical modeling methods for predicting recovery time from post-traumatic amnesia following moderate or severe traumatic brain injury in children | |
| 2013 | PhD | Shanshan Li | JHU Biostat | Statistical Methods for Evaluating Diagnostic Accuracy of Biomarkers | co-advised with primary advisor Mei-Cheng Wang |
| 2013 | MHS | Xiaoqiang Xu | JHU Biostat | Parallel Voxel Level Anything | |
| 2015 | PhD | Juemin Yang | JHU Biostat | Statistical Methods for Brain Imaging and Genomic Data Analysis | |
| 2015 | PhD | Shaojie Chen | JHU Biostat | Statistical Methods to Analyze Massive High-Dimensional Neuroimaging Data | |
| 2015 | PhD | Fang Han | JHU Biostat | Large-scale nonparametric and semiparametric inference for large complex and noisy datasets | Co-advised with Han Liu |
| 2016 | PhD | Chen Yue | JHU Biostat | Generalizations, extensions and applications for principal component analysis | co-advised with Vadim Zipunnikov |
| 2016 | PhD | Amanda Mejia | JHU Biostat | Statistical Methods for Functional Magnetic Resonance Imaging Data | co-advised with primary advisor Martin Lindquist |
| 2016 | PhD | Aaron Fisher | JHU Biostat | Methods for High Dimensional Analysis, Multiple Testing, and Visual Exploration | co-advised with primary advisor Vadim Zipunnikov |
| 2016 | PhD | Huitong Qiu | JHU Biostat | Statistical Methods and Theory for Analyzing High Dimensional Time Series | |
| 2020 | PhD | Zeyi Wang | JHU Biostat | Statistical Analysis of Functional Connectivity in Brain Imaging: Measurement Reliability and Clinical Applications | co-advised with Joshua Vogelstein |
| 2020 | MSE | Luchao Qi | JHU BME | Associations between Body Mass Index (BMI) and Physical Activity: National Health and Nutritional Examination Survey (NHANES) 2005-2006 | |
| 2021 | PhD | Bingkai Wang | JHU Biostat | Statistical Methods for Analyzing Randomized Trials and Brain Imaging Data | co-advised with primary advisor Michael Rosenblum |
| PhD | Huan Chen | JHU Biostat | In progress | ||
| PhD | Bohao Tang | JHU Biostat | In progress | ||
| PhD | Eric Bridgeford | JHU Biostat | In progress | Co advised with primary advisor Joshua Vogelstein | |
| 2009-2012 | Post doc | Vadim Zipunnikov | JHU Biostat | co-advising with primary advisor Ciprian Crainiceanu | |
| 2010-2013 | Post doc | Ani Eloyan | JHU Biostat | co-advising with Ciprian Crainiceanu | |
| 2011-2013 | Post doc | Seonjoo Lee | Henry Ford | co-advising with primary advisor Dzung Pham | |
| 2017-2020 | Post doc | Yi Zhao | JHU Biostat | co-advising with Stewart Mostofsky and Martin Lindquist | |
| 2017-2020 | Post doc | Heather Shappell | JHU Biostat | co-advising with Jim Pekar and primary advisor Martin Lindquist |
To the nearest year. Data Science and EDS specializations were with Roger Peng and Jeff Leek. Hover over to see instructor role and other info.
Hover data includes, granting organization, mechanism and title.
Biostatisticians wind up being Co-Is on a large number of grants. Please contact the JHU Department of Biostat for Co-I information.
Here's my major service roles by year rounded to the nearest year by the major organizational group that it represents. Also, I serve on ad hoc tenure and promotion committees whenever asked (not that often, maybe once every other year or so).
Here's wordclouds of seminar titles and seminar places.
